RelativeCosts1: The relative cost of reduced factorial designs

Description Usage Arguments Examples

Description

Draw a graph of the relative cost of complete factorial, fractional factorial, and unbalanced reduced factorial designs, as presented by Collins, Dziak and Li (2009; https://www.ncbi.nlm.nih.gov/pubmed/19719358). For purposes of illustration, a normally distributed response variable, dichotomous factors, and negligible interactions are assumed in this function.

Usage

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RelativeCosts1(number_of_factors, desired_fract_resolution = 4,
  min_target_d_per_factor = 0.2, condition_costlier_than_subject = 1,
  max_graph_ratio = 5)

Arguments

number_of_factors

The number of factors to be tested.

desired_fract_resolution

The desired resolution of the fractional factorial experiment to be compared. The default value is set to be 4.

min_target_d_per_factor

The minimum Cohen's d (standardized difference, i.e., response difference between levels on a given factor, divided by response standard deviation) that is desired to be detected with 80 The default value is set to be 0.2.

condition_costlier_than_subject

The default value is set to be 1.

max_graph_ratio

The default value is set to be 5.

Examples

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RelativeCosts1(number_of_factors = 9,
              desired_fract_resolution = 4,
              min_target_d_per_factor = .2,
              condition_costlier_than_subject=1,
              max_graph_ratio = 4)

MOST documentation built on May 2, 2019, 4:21 a.m.

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